In this paper, we introduce DrummerNet, a deep neural network based drum transcription system that is trained by unsupervised learning. With a more end-to-end approach, DrummerNet is distinguished from previous research [1]}, [2]}, [3]}, which has strong priors on the target sounds. In §, we present the system design principle behind DrummerNet, followed by its details in §. In §, the evaluation results are discussed along with the ablation study. We present our conclusion, the problems of our system, and the future direction towards fully unsupervised learning in transcription/MIR in §.
